Shu Kai, Liu Huan Detecting Fake News on Social Media 9781681735825

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Автор: Shu Kai, Liu Huan
Название: Detecting Fake News on Social Media
ISBN: 9781681735825
Издательство: Mare Nostrum (Eurospan)
Классификация:

Этические и социальные аспекты ИТ

Правовые аспекты ИТ

Цифровой стиль жизни

Указатели ресурсов Интернета и онлайновые сервисы

Социальные сети

Извлечение знаний из данных

Компьютерные сети и коммуникации

ISBN-10: 1681735822
Обложка/Формат: Paperback
Страницы: 129
Вес: 0.24 кг.
Дата издания: 30.07.2019
Серия: Synthesis lectures on data mining and knowledge discovery
Язык: English
Размер: 236 x 189 x 10
Читательская аудитория: Professional and scholarly
Ключевые слова: Computer networking & communications,Data mining,Digital lifestyle, COMPUTERS / Web / Social Networking,COMPUTERS / Social Aspects / General,COMPUTERS / Databases / Data Mining
Рейтинг:
Поставляется из: Англии
Описание:

In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost.

However, social media also enables the wide propagation of fake news, i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area.

This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.

Detecting Fake News on Social Media, Shu Kai, Liu Huan